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recently seen the first results in application to engineering materials for wear and plastic damage in steel. A significant opportunity is FLAME GPU general-purpose modelling framework developed in Sheffield
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Description For our location in Hamburg we are seeking: PhD Position Excellence Cluster BlueMat Water-Driven Materials Remuneration Group 13 | Limited: 3 years | Start: 01.05.2026 | ID: FSDO004/2026
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emerging areas of science and technology. (For more details, please visit https://www.fst.um.edu.mo/ and https://fhs.um.edu.mo/en/#/ ). The Department of Biological Science strives to excel in both
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Workday Business Intelligence Analyst designs, develops, and supports advanced reporting and analytics solutions within Workday to enable data-driven decision-making across the organization. This role
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of computational methods that enable machines to perform tasks requiring perception, learning, reasoning, and decision-making. It encompasses core areas such as machine learning, data-driven modeling, intelligent
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community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Job Overview
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and
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Description About Us Ardent Process Technologies is on a mission to save the planet. We create technology to capture and reduce greenhouse gas emissions, avert global warming, and transform industry into a long
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
demonstrated the efficacy of employing machine learning approaches to furnish engineers with a rapid computational asset for structural design and monitoring. Given that numerical models incorporating multi